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Hadoop Data Mining Tools Can Enhance The Value Of Digital Assets

Smart Data Collective

Some of the benefits are detailed below: Optimizing metadata for greater reach and branding benefits. There are a number of variables that affect the ROI of digital marketing creatives. One of the most overlooked factors is metadata. Metadata is important for numerous reasons. Metadata is important in digital marketing.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

More generally, low-quality data can impact productivity, bottom line, and overall ROI. No, its ultimate goal is to increase return on investment (ROI) for those business segments that depend upon data. Industry-wide, the positive ROI on quality data is well understood. 2 – Data profiling. Data Quality Management Best Practices.

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The Power of Graph Databases, Linked Data, and Graph Algorithms

Rocket-Powered Data Science

But it is not a failure — its actual success (and positive ROI) is discovered by the graph analytics algorithm through the transitive relationship between the marketing campaign and the final customer purchase, through an intermediary (entity-in-the-middle)! The campaign looks like a failure. community detection ).

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Four Topics That Should Be Top of Mind for SAP Partners

Timo Elliott

All of the statistics from IDC and the others show that there’s a massive market for digital services. I’ve really found that it’s a fantastic way of explaining the benefits, the possible ROI, from digital transformation, which historically has been something that’s relatively hard to do.

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What you need to know about product management for AI

O'Reilly on Data

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. You might have millions of short videos , with user ratings and limited metadata about the creators or content. What delivers the greatest ROI?

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The state of data quality in 2020

O'Reilly on Data

These include the basics, such as metadata creation and management, data provenance, data lineage, and other essentials. They’re still struggling with the basics: tagging and labeling data, creating (and managing) metadata, managing unstructured data, etc. They don’t have the resources they need to clean up data quality problems.

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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

Redshift significantly improved our business ROI efficiency.” – PengBo Yang, CTO, JOYME Data pipelines can be challenging and costly to build and manage and can create hours-long delays to obtain transactional data for analytics. With Redshift, we are able to view risk counterparts and data in near real time— instead of on an hourly basis.